Method for establishing pancreatic cancer miRNA prognosis model and screening targeted gene

Abstract

The invention discloses a method for establishing a pancreatic cancer miRNA prognosis model and screening a targeted gene. The model comprises hsa-mir-424, hsa-mir-126, hsa-mir-3613 and hsa-mir-4772,nine key genes are identified, and the nine key genes comprise MMP14, ITGA2, THBS2, COL1A1, COL3A1, COL11A1, COL6A3, COL12A1 and COL5A2. According to the method for establishing the pancreatic cancermiRNA prognosis model, by means of TCGA and GEO databases, data is subjected to multi-step analysis through a plurality of R language installation packages and combines with clinical information, a Cox proportional risk regression model is established to search for prognosis biomarkers, the targeted gene of miRNA is predicted, the key genes related to pancreatic cancer are found out by utilizing Cytoscape, and related molecular functions and action mechanisms of the key genes are predicted through KEGG and GO analysis so as to search for new treatment targets and prognosis markers of pancreatic cancer patients.

Description

technical field [0001] The invention relates to the fields of gene technology and medicine, in particular to the establishment of a pancreas cancer miRNA prognosis model and a screening method for targeted genes. Background technique [0002] Pancreatic cancer, like other tumors, is affected by many factors. In general, surgical resection is the only option for the cure of pancreatic cancer. However, over the years, the surgical resection rate and postoperative annual survival rate of pancreatic cancer have not improved significantly. Most patients lose the chance of surgery due to extensive metastasis at the time of diagnosis, and pancreatic cancer is not sensitive to radiotherapy and chemotherapy. Therefore, it is of great significance to find new therapeutic targets and study the pathogenesis of pancreatic cancer. In recent years, with the discovery of microRNA (microRNA) and the deepening of its research, more and more miRNAs have been proved to be closely related to t...

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Problems solved by technology

[0003] However, it takes a long time to find new miRNA biomarkers through experimental research and the results are not necessarily ideal. Therefore, in the current research on miRNA and disease, many researchers propose to apply bioinformatics to analyze miRNA and disease association data. Large-scale systematic analysis, exploring the rules of miRNA and diseases, elucidating the biological characteristics of disease-related miRNAs, and discovering new disease biomarkers and drug targets. Therefore, in the past decade, many major human cancer research projects have been initiated, including The Cancer Genome Atlas (The Cancer Genome Atlas) is one of them

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